| Application of a temporal reasoning framework tool in analysis of medical device adverse events. | |
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MedLine Citation:
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PMID: 22195199 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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The Clinical Narrative Temporal Relation Ontology (CNTRO)1 project offers a semantic-web based reasoning framework, which represents temporal events and relationships within clinical narrative texts, and infer new knowledge over them. In this paper, the CNTRO reasoning framework is applied to temporal analysis of medical device adverse event files. One specific adverse event was used as a test case: late stent thrombosis. Adverse event narratives were obtained from the Food and Drug Administration's (FDA) Manufacturing and User Facility Device Experience (MAUDE) database2. 15 adverse event files in which late stent thrombosis was confirmed were randomly selected across multiple drug eluting stent devices. From these files, 81 events and 72 temporal relations were annotated. 73 temporal questions were generated, of which 65 were correctly answered by the CNTRO system. This results in an overall accuracy of 89%. This system should be pursued further to continue assessing its potential benefits in temporal analysis of medical device adverse events. |
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Authors:
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Kimberly K Clark; Deepak K Sharma; Christopher G Chute; Cui Tao |
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Publication Detail:
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Type: Journal Article Date: 2011-10-22 |
Journal Detail:
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Title: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium Volume: 2011 ISSN: 1942-597X ISO Abbreviation: AMIA Annu Symp Proc Publication Date: 2011 |
Date Detail:
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Created Date: 2011-12-23 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101209213 Medline TA: AMIA Annu Symp Proc Country: United States |
Other Details:
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Languages: eng Pagination: 1366-71 Citation Subset: IM |
Affiliation:
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Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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